Chris

@piffie

226 Following

144 Followers

Chris pfp

3 weeks into @ns and my body is becoming as optimized as my code 💪 The daily burns are no joke: • Muscle mass ⬆️ 10% • Weight ⬇️ 5% • Body fat ⬇️ 3% For years I've tried getting in shape while building, but always put health on the back burner. Turns out the strongest founders need strong bodies too. Love Sam and his program to optimize founders' entire workout. Healthy builders → better building. Who else is seeing transformations from Network State School? Drop your wins! #WeeklyWins #BuilderLife #NetworkState

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Every time the market dumps people picture some billionaire slamming “SELL” and cashing out. But that’s not how real size moves…whales barely even trade like retail imagines. So who are the real market movers? →Aggressive market makers: arbitraging inefficiencies at speeds no human can match. →Structured product desks: offloading risk from options, perps, and exotic derivatives. →Institutional trading firms: hedging exposure before retail even realizes what’s happening. A real whale doesn’t “dump.” They rotate. They hedge. They transfer risk months in advance while retail traders are still watching RSI indicators. Take BlackRock’s Bitcoin ETF inflows. People assume it’s just buy pressure but every institution has an exit strategy whether through derivatives, OTC desks, or structured hedging. So next time price moves against you, ask yourself: Is it really a whale selling or just a smarter player managing risk while everyone else blames the wrong people?

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🚀 JUST LAUNCHED: Our one-click trading prototype is LIVE! MC² Finance now finds the best liquidity routes across ALL chains, protocols & tokens instantly: ✅ Compare rates across 15+ DEXs ✅ Cross-chain swaps without bridging headaches ✅ Gas optimization built-in ✅ Institutional-grade security ➡️ In testing - will be available soon This is how we're bringing DeFi yields to regulated ETPs - starting with simplified trading. Coming soon to: https://app.mc2.fi/ #DeFi #FinTech #TradFi #Crypto #MC2Finance #WeeklyWin

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Dived again into Atomic Habits - such a great read. It's always the small things that actually result in big changes. That's true for your personal growth, for your business growth, but I believe this is especially true for your happiness. To appreciate every small win. Make it a habit. @ns @marine

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Lehman Brothers wasn’t the first bank to collapse but it was the one that broke the system. I think today crypto faces its own contagion risk. TradFi giants hold BTC on balance sheets. DeFi protocols hold billions in locked value. CEXs remain the backbone of market liquidity. What happens when one cracks? → If a major DeFi lender collapses, does the whole stack unwind? → If a CEX goes down, how fast does it spread across chains? → If an ETF dumps holdings, who absorbs the liquidity shock? 2008 taught us that leverage and interconnected risk are ticking time bombs. DeFi mirrors that in ways we don’t fully price in. The question here is not if a failure will happen. It’s when and how brutal the fallout will be. And, who saves it?

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You know what is funny? For years CEX traders laughed at DeFi and mocked them for no order books & depth charts and called it 'pools of liquidity sloshing around'. What happened now? Simple👇🏻 We got: MEV, gas fees, and slippage and suddenly the joke wasn’t funny anymore xD Slippage turned big trades into slowmotion disasters. It ended badly for everyone. I am more interested in what happens next. I have a few observations: a) AI first liquidity markets that react before inefficiencies appear. b) Auction like execution where traders bid dynamically instead of relying on static limit orders. c) Cross chain liquidity aggregation to break walls between fractured pools. I think a great summary is that liquidity is not just about stacking buy and sell orders but more about execution that actually works. I also think the most efficient market structure is the one that won’t look like CEXs or AMMs. It will look like something we haven’t built yet (there is some alpha here). What do you think?

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OpenAI just committed $50M to fund AI research across 15 top institutions. This is huge for a lot of reasons. OpenAI is embedding itself into academia. → Harvard and Boston Children’s Hospital are using AI for faster rare disease diagnoses. → Oxford’s Bodleian Library is transcribing centuries-old texts with OpenAI’s API. → MIT and Texas A&M are training the next generation of AI researchers. The upside here is that AI accelerates science. The catch is who controls the models that define knowledge and decision making? This is infrastructure capture. The deeper OpenAI integrates into education, the harder it becomes for universities to operate without it. Who decides what that research looks like?

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Governance is an incredibly sound front running game. Think about this: Whales always want to buy voting power through tokens. A proposal leaks. Someone accumulates governance tokens at a discount. By the time it’s public, they’re already positioned. It’s the ultimate asymmetric trade. Knowing how a vote will go before it happens is better than any price chart. Governance is an auction. Votes are bought, policies are influenced & outcomes are rarely organic. If governance is just another tradable asset, does it even work? Or is it just another way insiders extract value? You tell me.

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For years, U.S. crypto policy was defined by regulatory hostility (stonewalled innovation, unclear guidelines, endless litigation). That era is ending. Congress is moving to secure America’s leadership in digital assets. A bipartisan framework is on the table: → Stablecoin regulation that ensures onshore dollar dominance → Clear token issuance rules to protect markets without stifling growth → Stronger safeguards against fraud, laundering, and illicit finance Meanwhile, competitors aren’t waiting. China is scaling its CBDC. Europe has MiCA. If the U.S. lags, it risks losing financial primacy. The window for leadership is now. Congress needs to act.

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“Chris you run a company, how do you find time to trade?” I get asked this question a lot…. The real question is how could I not? Trading has never been just about making money for me (ever since I have been in crypto that is). Tbh it’s an emotional stress test. A game theory experiment in real time. A mirror that forces you to confront your own biases, greed (and fear). Linkedin gurus will tell you about conviction and how important that is. Wrong. Execution matters way more than conviction. Everyone is "bullish" at the top and "cautious" at the bottom. The difference is who actually acts. By the time you understand why a token is pumping, it's already priced in. Constantly watching positioning, liquidity & leverage play out is a thrill only a few dare to seek. Trading keeps my mind sharp. It forces discipline. It rewards being adaptive. Every day, the market asks you one question: Are you right, or are you just a stubborn old man? Answer it right and Voila!

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FTX’s first repayments are here….this is a $1.2B milestone. For some, it’s closure. For others, it’s an insult. Users will get paid based on 2022 bankruptcy prices, not today’s. That means Bitcoin claimants get cashed out at ~$16K (BTC trades near $95K rn) The gap is brutal. For the industry it’s a signal. Crypto survived its longest winter. FTX's collapse defined 2022. Its repayments could define the next wave of liquidity. But will these funds flow back into crypto? Will burned investors stay on the sidelines? Not sure. But I am certain that trust in crypto isn’t restored by repayments. It’s rebuilt by better systems.

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such a nice idea - could very well be - fits perfectly into my timeline - thanks for your insights.

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my general frustration summed up is in the lines of too many tokens and too few users. half the protocols exist to farm rewards and its the same with chains. more liquidity wars, fewer real users. if Web3 wants scale, it needs fewer casinos and more use cases people actually need.

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They will have a long way to go - countries on the waitlist are ordered wrong - emails go into the google spam folder… let’s see if the app is the same quality

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Elon Musk is building AI for the US government. DOGE (Department of Government Efficiency) is developing GSAi (an AI chatbot for the General Services Administration) The goal is ambitious. a) Automate procurement b) Automate contracts c) Automate IT workflows for 12,000+ federal employees. Why does this matter? Musk’s team ditched off-the-shelf models like Gemini to build something more secure. Maybe even faster and tailored. AI coding agents are also in the works. The US is making its bet. Who follows next?

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Finance used to follow a rhythm. Boom, bust, recovery, then repeat. But hyper-liquid markets are making those cycles irrelevant. Look at 2023–2024. No clear bull or bear markets. Just fragmented volatility clusters. A world where capital never resets (just rotates) AI doesn’t wait for cycles. Liquidity migrates instantly. Capital reacts in milliseconds. There’s might not be a "next cycle". Only constant adaptation. Passive investing? Might be dead. Stability? Might be an illusion. The only strategy that survives is active, intelligent capital allocation.

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Liquidity flows where the incentives are. The real prize is paid by trust here. Every protocol needs reliable on-chain reputation. Lending, governance, credit markets—they all fail without a way to verify trustworthiness. Right now, wallets hold assets, but they don’t hold who you are. Imagine an on-chain reputation score as the new stablecoin. Fully transferable, composable, and more valuable than capital itself. The next DeFi supercycle won’t be about yield. I think it will be about credibility as collateral. Who builds it first?

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Google just launched Gemini 2.0 (their most powerful version yet). But it feels broken to me. This is pushing deeper into AI agents. It integrates systems designed to act, not just assist. OpenAI, Anthropic, and Microsoft are all chasing the same vision: AI that completes complex, multi-step tasks for users. But here’s the problem: AI inside legacy tools feels broken. Tried using Gemini and Copilot for productivity. It’s clunky. AI is being bolted onto outdated software. Adding an AI sidebar to an old system doesn’t unlock real efficiency. → ChatGPT reshaped how people think and iterate. → Legacy office tools trap users in pre-AI workflows. I really think AI isn’t meant to "assist" inside old systems. It should replace them. The real shift will come from AI-native tools. Not a plugin. Not an add-on. A new foundation. Where’s the AI-first productivity suite that changes how we work?

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Silicon valley has rediscovered memecoins. Tech founders are suddenly launching memecoins like it's 2021 again. Venmo’s co-founder launched one. A Vine co-founder joined in. VCs who once dismissed crypto as “too volatile” are now waxing poetic about tokens as “expressions of viewpoints.” The numbers are wild. Memecoin on Solana are hitting $230M market cap in hours (then collapsing below $100M the next day) We all know what happened with $TRUMP & $MELANIA I think this is all about liquidity sloshing between hype cycle. But this an evolution of capital formation or just the latest speculative bubble? History says both. Memes are testing what happens when startups launch tokens before they even have products. Will this last? Probably not in its current form. But underestimating experimentation in crypto has always been a mistake.

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Every major stablecoin is a confidence game: → Fiat-backed (USDC, USDT) Trust in reserves. What happens when access is restricted? → Algorithmic (LUNA/UST) Trust in models. We saw how that ended. → Hybrid (DAI, Frax, GHO) Trust in collateral balancing. The hardest model to scale. MakerDAO pivoted from pure decentralization to RWA-backed reserves. Frax blends collateral with algorithmic controls. GHO is Aave’s attempt to integrate borrowing mechanics. The problem is that no one has cracked true, independent stability yet. Most designs still rely on centralized assets, governance intervention, or market reflexivity. Stablecoins are DeFi’s foundation. If they aren’t robust, nothing built on them is.

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